Google releases new AI video mannequin Veo 3.1 in Movement and API: what it means for enterprises

As anticipated after days of leaks and rumors on-line, Google has unveiled Veo 3.1, its newest AI video technology mannequin, bringing a set of artistic and technical upgrades geared toward bettering narrative management, audio integration, and realism in AI-generated video.

Whereas the updates broaden potentialities for hobbyists and content material creators utilizing Google’s on-line AI creation app, Movement, the discharge additionally alerts a rising alternative for enterprises, builders, and inventive groups looking for scalable, customizable video instruments.

The standard is larger, the physics higher, the pricing the identical as earlier than, and the management and modifying options extra sturdy and diverse.

My preliminary checks confirmed it to be a strong and performant mannequin that instantly delights with every technology. Nonetheless, the look is extra cinematic, polished and a bit of extra "synthetic" than by default than rivals akin to OpenAI's new Sora 2, launched late final month, which can or is probably not what a specific person goes after (Sora excels at handheld and "candid" type movies).

Expanded Management Over Narrative and Audio

Veo 3.1 builds on its predecessor, Veo 3 (launched again in Might 2025) with enhanced help for dialogue, ambient sound, and different audio results.

Native audio technology is now out there throughout a number of key options in Movement, together with “Frames to Video,” “Components to Video,” and “Prolong," which give customers the power to, respectively: flip nonetheless pictures into video; use objects, characters and objects from a number of pictures in a single video; and generate longer clips than the preliminary 8 seconds, to greater than 30 seconds and even 1+ plus when persevering with from a previous clip's last body.

Earlier than, you had so as to add audio manually after utilizing these options.

This addition provides customers better command over tone, emotion, and storytelling — capabilities which have beforehand required post-production work.

In enterprise contexts, this degree of management could scale back the necessity for separate audio pipelines, providing an built-in strategy to create coaching content material, advertising movies, or digital experiences with synchronized sound and visuals.

Google famous in a weblog publish that the updates mirror person suggestions calling for deeper inventive management and improved audio help. Gallegos emphasizes the significance of constructing edits and refinements potential straight in Movement, with out remodeling scenes from scratch.

Richer Inputs and Modifying Capabilities

With Veo 3.1, Google introduces help for a number of enter varieties and extra granular management over generated outputs. The mannequin accepts textual content prompts, pictures, and video clips as enter, and likewise helps:

• Reference pictures (as much as three) to information look and magnificence within the last output

• First and final body interpolation to generate seamless scenes between fastened endpoints

• Scene extension that continues a video’s motion or movement past its present length

These instruments goal to present enterprise customers a strategy to fine-tune the feel and appear of their content material—helpful for model consistency or adherence to artistic briefs.

Extra capabilities like “Insert” (add objects to scenes) and “Take away” (delete components or characters) are additionally being launched, although not all are instantly out there via the Gemini API.

Deployment Throughout Platforms

Veo 3.1 is accessible via a number of of Google’s present AI providers:

• Movement, Google’s personal interface for AI-assisted filmmaking

• Gemini API, focused at builders constructing video capabilities into purposes

• Vertex AI, the place enterprise integration will quickly help Veo’s “Scene Extension” and different key options

Availability via these platforms permits enterprise prospects to decide on the fitting atmosphere—GUI-based or programmatic—based mostly on their groups and workflows.

Pricing and Entry

The Veo 3.1 mannequin is at present in preview and out there solely on the paid tier of the Gemini API. The price construction is similar as Veo 3, the previous technology of AI video fashions from Google.

• Customary mannequin: $0.40 per second of video

• Quick mannequin: $0.15 per second

There is no such thing as a free tier, and customers are charged provided that a video is efficiently generated. This mannequin is per earlier Veo variations and offers predictable pricing for budget-conscious enterprise groups.

Technical Specs and Output Management

Veo 3.1 outputs video at 720p or 1080p decision, with a 24 fps body fee.

Length choices embrace 4, 6, or 8 seconds from a textual content immediate or uploaded pictures, with the power to increase movies as much as 148 seconds (greater than 2 and half minutes!) when utilizing the “Prolong” function.

New performance additionally contains tighter management over topics and environments. For instance, enterprises can add a product picture or visible reference, and Veo 3.1 will generate scenes that protect its look and stylistic cues throughout the video. This might streamline artistic manufacturing pipelines for retail, promoting, and digital content material manufacturing groups.

Preliminary Reactions

The broader creator and developer group has responded to Veo 3.1’s launch with a mixture of optimism and tempered critique—notably when evaluating it to rival fashions like OpenAI’s Sora 2.

Matt Shumer, an AI founding father of Otherside AI/Hyperwrite, and early adopter, described his preliminary response as “disappointment,” noting that Veo 3.1 is “noticeably worse than Sora 2” and likewise “fairly a bit costlier.”

Nonetheless, he acknowledged that Google’s tooling—akin to help for references and scene extension—is a vivid spot within the launch.

Travis Davids, a 3D digital artist and AI content material creator, echoed a few of that sentiment. Whereas he famous enhancements in audio high quality, notably in sound results and dialogue, he raised issues about limitations that stay within the system.

These embrace the dearth of customized voice help, an lack of ability to pick out generated voices straight, and the continued cap at 8-second generations—regardless of some public claims about longer outputs.

Davids additionally identified that character consistency throughout altering digicam angles nonetheless requires cautious prompting, whereas different fashions like Sora 2 deal with this extra routinely. He questioned the absence of 1080p decision for customers on paid tiers like Movement Professional and expressed skepticism over function parity.

On the extra optimistic finish, @kimmonismus, an AI publication author, acknowledged that “Veo 3.1 is wonderful,” although nonetheless concluded that OpenAI’s newest mannequin stays preferable total.

Collectively, these early impressions recommend that whereas Veo 3.1 delivers significant tooling enhancements and new artistic management options, expectations have shifted as rivals elevate the bar on each high quality and usefulness.

Adoption and Scale

Since launching Movement 5 months in the past, Google says over 275 million movies have been generated throughout numerous Veo fashions.

The tempo of adoption suggests vital curiosity not solely from people but in addition from builders and companies experimenting with automated content material creation.

Thomas Iljic, Director of Product Administration at Google Labs, highlights that Veo 3.1’s launch brings capabilities nearer to how human filmmakers plan and shoot. These embrace scene composition, continuity throughout pictures, and coordinated audio—all areas that enterprises more and more look to automate or streamline.

Security and Accountable AI Use

Movies generated with Veo 3.1 are watermarked utilizing Google’s SynthID expertise, which embeds an imperceptible identifier to sign that the content material is AI-generated.

Google applies security filters and moderation throughout its APIs to assist decrease privateness and copyright dangers. Generated content material is saved briefly and deleted after two days except downloaded.

For builders and enterprises, these options present reassurance round provenance and compliance—essential in regulated or brand-sensitive industries.

The place Veo 3.1 Stands Amongst a Crowded AI Video Mannequin Area

Veo 3.1 is not only an iteration on prior fashions—it represents a deeper integration of multimodal inputs, storytelling management, and enterprise-level tooling. Whereas artistic professionals might even see fast advantages in modifying workflows and constancy, companies exploring automation in coaching, promoting, or digital experiences could discover even better worth within the mannequin’s composability and API help.

The early person suggestions highlights that whereas Veo 3.1 affords worthwhile tooling, expectations round realism, voice management, and technology size are evolving quickly. As Google expands entry via Vertex AI and continues refining Veo, its aggressive positioning in enterprise video technology will hinge on how shortly these person ache factors are addressed.